Integrate the Feedbin API with the Python API

Setup the Feedbin API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Feedbin and Python remarkably fast. Free for developers.

Popular Ways to Connect Feedbin with Python#

Run Python Code with Python API on New Liked Item from Feedbin API

Feedbin + Python

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Run Python Code with Python API on New Saved Item from Feedbin API

Feedbin + Python

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Run Python Code with Python API on New Search from Feedbin API

Feedbin + Python

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Popular Feedbin and Python Triggers#

New Liked Item from the Feedbin API

Emit new event when a new item is liked. See the docs here

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New Saved Item from the Feedbin API

Emit new event when a new item is saved. See the docs here

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New Search from the Feedbin API

Emit new event when a new search is created. See the docs here

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Popular Feedbin and Python Actions#

Get Subscriptions with the Feedbin API

Return all subscriptions. See the docs here.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of Feedbin#

The Feedbin API provides an interface to manage and interact with a user's RSS feed subscriptions and articles. By integrating with Pipedream, you can leverage this API to create automation workflows that enhance your reading experience, keep you informed, and integrate your favorite feeds with other services. With Pipedream's serverless platform, you can set up triggers based on new articles, organize content, and synchronize your Feedbin data across multiple applications.

Connect Feedbin#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    feedbin: {
      type: "app",
      app: "feedbin",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.feedbin.com/v2/authentication.json`,
      auth: {
        username: `${this.feedbin.$auth.email}`,
        password: `${this.feedbin.$auth.password}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}